Document management solution with RAG chatbot: increased employee productivity and breach attempts detection

Innowise developed a software solution that allows users to access and collaborate on documents. The solution also includes a chat for seamless communication and an RAG chatbot through which the users can access the documents.

Customer

Industry

Telecom

Region

Germany

Client since

2023

The client is a prominent telecommunications provider headquartered in Germany. They specialize in managing extensive data traffic across their vast digital network, catering to a diverse clientele throughout Europe. The company is recognized for its robust infrastructure that supports high-volume data exchange and connectivity services.

Detailed information about the client cannot be disclosed under the provisions of the NDA.

Challenge

The client required data retrieval features that third-party digital office products lack

The client struggled to set up a collaboration process among employees: different departments and branches found it difficult to refer to certain information within internal documents during communication. As the third-party digital office products available on the market lacked sophisticated data retrieval features, the client required a custom solution. Security was a big concern as well: the solution must be able to issue custom viewing permissions to protect sensitive information.

Solution

Cloud-based document storage with data retrieval via chat requests

Our experts developed a solution that facilitates safe and secure document management along with enhanced collaboration for the client’s employees. The solution includes cloud-based document storage and a RAG-based chatbot. The employees can access and edit information either through the cloud storage or internal chat via RAG chatbot requests. They can use the requests to make document summaries, extract certain pieces of information, and compare the documents. The chatbot also issues limited view permissions to protect the data from internal and external threats.

Chat interface with RAG chatbot

The employees use the chat interface to communicate among their branches and departments when working on their projects. The chat also includes the RAG chatbot bot through which employees can request information from the company’s documents based on keywords and various criteria. The bot returns a snippet with the requested data and grants limited access to chat members. Apart from data extraction, the RAG chatbot can make document summaries, and compare different documents.

Blockchain for data governance

Innowise experts have integrated blockchain into the solution to manage data integrity. It helps store the information securely, while smart contracts execute data governance rules: they leverage voting systems and consensus algorithms for rule enforcement. This way, the users can enjoy convenient access to documents through both internal cloud storage and chat interface without compromising data security.

Machine learning security

To strengthen the security even further, Innowise has implemented a machine learning algorithm designed to detect malicious behavior within the clients’ digital infrastructure. It monitors chat history to detect inappropriate behavior, scans the documents for traces of data poisoning, and analyzes the entire data flow to find unusual patterns. In case it finds suspicious behavior, it flags it as a potential security threat and enables proactive threat mitigation.

Technologies

Front-end

React.Js. Material-UI, Redux, JWT, Flexbox

Back-end

Python, MongoDB, Flask-JWT-Extended, S3, SQLAlchemy

Blockchain

Solidity, Web3.py, PoA

HuggingFace, AWS(EC2, ECR, S3, Codebuild, Cloudwatch, SageMaker), OpenAI GPT, Bert, LlaMa, LoRa, Flask, CUDA, PyTorch, ChromaDB, Tesseract, Langchain, BitsAndBytes, Transformers

VCS

Git, GitHub

DevOps

CodePipeline, ECS, EKS, CloudWatch, CloudFormation

Process

The development process followed the Scrum methodology, beginning with a thorough discovery phase to define the scope of work. Project tasks were organized into two-week sprints, each ending with a prototype delivered for client review. This agile approach allowed for rapid responses to changes and issue resolution, ensuring the final product closely met the client’s objectives.

Team

Project Manager

Business Analyst

Front-End Developers

Back-End Developer

Back-End + Blockchain Developers

Machine Learning Engineer

MLSecOps Engineer

Results

Increased productivity and improved breach attempts detection

Thanks to the software solution developed by Innowise, the client has managed to simplify the document management procedures: now, the employees can easily find the right document and defer to certain information within said document. It also allows the specialists to communicate with each other and collaborate on projects with no friction, while the whole solution keeps information exchanges secure.

With the ability to easily retrieve and share information, the employees do not have to sift through countless documents and can complete their tasks much quicker.

Project duration

January 2023 - February 2024

41%

increase in productivity

20%

increase in breach attempts detection

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